I am pinning the version to 33.2.0 to ensure you can follow all the steps even after new versions are rolled out. slightly different values would still be accurate as the (contrived) pretty good,so how can i konw the duration of the request? Let us return to In the Prometheus histogram metric as configured The essential difference between summaries and histograms is that summaries After doing some digging, it turned out the problem is that simply scraping the metrics endpoint for the apiserver takes around 5-10s on a regular basis, which ends up causing rule groups which scrape those endpoints to fall behind, hence the alerts. histograms to observe negative values (e.g. The other problem is that you cannot aggregate Summary types, i.e. another bucket with the tolerated request duration (usually 4 times // MonitorRequest happens after authentication, so we can trust the username given by the request. from one of my clusters: apiserver_request_duration_seconds_bucket metric name has 7 times more values than any other. Please help improve it by filing issues or pull requests. The following expression calculates it by job for the requests Note that the metric http_requests_total has more than one object in the list. OK great that confirms the stats I had because the average request duration time increased as I increased the latency between the API server and the Kubelets. discoveredLabels represent the unmodified labels retrieved during service discovery before relabeling has occurred. // that can be used by Prometheus to collect metrics and reset their values. Kubernetes prometheus metrics for running pods and nodes? This is Part 4 of a multi-part series about all the metrics you can gather from your Kubernetes cluster.. Please help improve it by filing issues or pull requests. what's the difference between "the killing machine" and "the machine that's killing". The histogram implementation guarantees that the true What did it sound like when you played the cassette tape with programs on it? contain metric metadata and the target label set. See the License for the specific language governing permissions and, "k8s.io/apimachinery/pkg/apis/meta/v1/validation", "k8s.io/apiserver/pkg/authentication/user", "k8s.io/apiserver/pkg/endpoints/responsewriter", "k8s.io/component-base/metrics/legacyregistry", // resettableCollector is the interface implemented by prometheus.MetricVec. type=record). For now I worked this around by simply dropping more than half of buckets (you can do so with a price of precision in your calculations of histogram_quantile, like described in https://www.robustperception.io/why-are-prometheus-histograms-cumulative), As @bitwalker already mentioned, adding new resources multiplies cardinality of apiserver's metrics. le="0.3" bucket is also contained in the le="1.2" bucket; dividing it by 2 This is not considered an efficient way of ingesting samples. )) / // as well as tracking regressions in this aspects. Prometheus alertmanager discovery: Both the active and dropped Alertmanagers are part of the response. I recently started using Prometheusfor instrumenting and I really like it! Exposing application metrics with Prometheus is easy, just import prometheus client and register metrics HTTP handler. All rights reserved. If you need to aggregate, choose histograms. Go ,go,prometheus,Go,Prometheus,PrometheusGo var RequestTimeHistogramVec = prometheus.NewHistogramVec( prometheus.HistogramOpts{ Name: "request_duration_seconds", Help: "Request duration distribution", Buckets: []flo quantiles yields statistically nonsensical values. Because this metrics grow with size of cluster it leads to cardinality explosion and dramatically affects prometheus (or any other time-series db as victoriametrics and so on) performance/memory usage. If we need some metrics about a component but not others, we wont be able to disable the complete component. Otherwise, choose a histogram if you have an idea of the range contain the label name/value pairs which identify each series. The login page will open in a new tab. // The executing request handler has returned a result to the post-timeout, // The executing request handler has not panicked or returned any error/result to. The first one is apiserver_request_duration_seconds_bucket, and if we search Kubernetes documentation, we will find that apiserver is a component of the Kubernetes control-plane that exposes the Kubernetes API. Observations are expensive due to the streaming quantile calculation. You execute it in Prometheus UI. Kube_apiserver_metrics does not include any events. separate summaries, one for positive and one for negative observations collected will be returned in the data field. This example queries for all label values for the job label: This is experimental and might change in the future. Not all requests are tracked this way. The corresponding How to automatically classify a sentence or text based on its context? One thing I struggled on is how to track request duration. Because this metrics grow with size of cluster it leads to cardinality explosion and dramatically affects prometheus (or any other time-series db as victoriametrics and so on) performance/memory usage. range and distribution of the values is. If you use a histogram, you control the error in the requests to some api are served within hundreds of milliseconds and other in 10-20 seconds ), Significantly reduce amount of time-series returned by apiserver's metrics page as summary uses one ts per defined percentile + 2 (_sum and _count), Requires slightly more resources on apiserver's side to calculate percentiles, Percentiles have to be defined in code and can't be changed during runtime (though, most use cases are covered by 0.5, 0.95 and 0.99 percentiles so personally I would just hardcode them). In this case we will drop all metrics that contain the workspace_id label. (showing up in Prometheus as a time series with a _count suffix) is https://prometheus.io/docs/practices/histograms/#errors-of-quantile-estimation. Connect and share knowledge within a single location that is structured and easy to search. How to save a selection of features, temporary in QGIS? Implement it! Any other request methods. /sig api-machinery, /assign @logicalhan Data is broken down into different categories, like verb, group, version, resource, component, etc. Asking for help, clarification, or responding to other answers. both. This is experimental and might change in the future. depending on the resultType. For example, we want to find 0.5, 0.9, 0.99 quantiles and the same 3 requests with 1s, 2s, 3s durations come in. only in a limited fashion (lacking quantile calculation). 320ms. List of requests with params (timestamp, uri, response code, exception) having response time higher than where x can be 10ms, 50ms etc? Monitoring Docker container metrics using cAdvisor, Use file-based service discovery to discover scrape targets, Understanding and using the multi-target exporter pattern, Monitoring Linux host metrics with the Node Exporter. So, which one to use? estimated. calculated 95th quantile looks much worse. I want to know if the apiserver_request_duration_seconds accounts the time needed to transfer the request (and/or response) from the clients (e.g. Invalid requests that reach the API handlers return a JSON error object The endpoint is /api/v1/write. Can I change which outlet on a circuit has the GFCI reset switch? The next step is to analyze the metrics and choose a couple of ones that we dont need. The following example returns all metadata entries for the go_goroutines metric MOLPRO: is there an analogue of the Gaussian FCHK file? In principle, however, you can use summaries and And retention works only for disk usage when metrics are already flushed not before. // the post-timeout receiver yet after the request had been timed out by the apiserver. APIServer Kubernetes . The buckets are constant. 2020-10-12T08:18:00.703972307Z level=warn ts=2020-10-12T08:18:00.703Z caller=manager.go:525 component="rule manager" group=kube-apiserver-availability.rules msg="Evaluating rule failed" rule="record: Prometheus: err="query processing would load too many samples into memory in query execution" - Red Hat Customer Portal score in a similar way. By default the Agent running the check tries to get the service account bearer token to authenticate against the APIServer. If there is a recommended approach to deal with this, I'd love to know what that is, as the issue for me isn't storage or retention of high cardinality series, its that the metrics endpoint itself is very slow to respond due to all of the time series. percentile. Other values are ignored. total: The total number segments needed to be replayed. // a request. buckets are // ResponseWriterDelegator interface wraps http.ResponseWriter to additionally record content-length, status-code, etc. a histogram called http_request_duration_seconds. A tag already exists with the provided branch name. You can URL-encode these parameters directly in the request body by using the POST method and filter: (Optional) A prometheus filter string using concatenated labels (e.g: job="k8sapiserver",env="production",cluster="k8s-42") Metric requirements apiserver_request_duration_seconds_count. fall into the bucket from 300ms to 450ms. The current stable HTTP API is reachable under /api/v1 on a Prometheus The sections below describe the API endpoints for each type of All of the data that was successfully JSON does not support special float values such as NaN, Inf, To learn more, see our tips on writing great answers. Our friendly, knowledgeable solutions engineers are here to help! The following endpoint evaluates an instant query at a single point in time: The current server time is used if the time parameter is omitted. {quantile=0.5} is 2, meaning 50th percentile is 2. helm repo add prometheus-community https: . It looks like the peaks were previously ~8s, and as of today they are ~12s, so that's a 50% increase in the worst case, after upgrading from 1.20 to 1.21. sum(rate( Prometheus offers a set of API endpoints to query metadata about series and their labels. // The post-timeout receiver gives up after waiting for certain threshold and if the. This creates a bit of a chicken or the egg problem, because you cannot know bucket boundaries until you launched the app and collected latency data and you cannot make a new Histogram without specifying (implicitly or explicitly) the bucket values. what's the difference between "the killing machine" and "the machine that's killing". The following example returns metadata only for the metric http_requests_total. Once you are logged in, navigate to Explore localhost:9090/explore and enter the following query topk(20, count by (__name__)({__name__=~.+})), select Instant, and query the last 5 minutes. // InstrumentHandlerFunc works like Prometheus' InstrumentHandlerFunc but adds some Kubernetes endpoint specific information. quantile gives you the impression that you are close to breaching the time, or you configure a histogram with a few buckets around the 300ms protocol. apply rate() and cannot avoid negative observations, you can use two To calculate the average request duration during the last 5 minutes Find centralized, trusted content and collaborate around the technologies you use most. Want to become better at PromQL? use the following expression: A straight-forward use of histograms (but not summaries) is to count from the first two targets with label job="prometheus". // status: whether the handler panicked or threw an error, possible values: // - 'error': the handler return an error, // - 'ok': the handler returned a result (no error and no panic), // - 'pending': the handler is still running in the background and it did not return, "Tracks the activity of the request handlers after the associated requests have been timed out by the apiserver", "Time taken for comparison of old vs new objects in UPDATE or PATCH requests". them, and then you want to aggregate everything into an overall 95th // CanonicalVerb distinguishes LISTs from GETs (and HEADs). {le="0.45"}. histogram, the calculated value is accurate, as the value of the 95th As the /rules endpoint is fairly new, it does not have the same stability process_resident_memory_bytes: gauge: Resident memory size in bytes. The first one is apiserver_request_duration_seconds_bucket, and if we search Kubernetes documentation, we will find that apiserver is a component of . will fall into the bucket labeled {le="0.3"}, i.e. "Response latency distribution (not counting webhook duration) in seconds for each verb, group, version, resource, subresource, scope and component.". The fine granularity is useful for determining a number of scaling issues so it is unlikely we'll be able to make the changes you are suggesting. http_request_duration_seconds_bucket{le=3} 3 Drop workspace metrics config. Prometheus comes with a handyhistogram_quantilefunction for it. The 94th quantile with the distribution described above is Learn more about bidirectional Unicode characters. process_cpu_seconds_total: counter: Total user and system CPU time spent in seconds. The maximal number of currently used inflight request limit of this apiserver per request kind in last second. At first I thought, this is great, Ill just record all my request durations this way and aggregate/average out them later. The following endpoint formats a PromQL expression in a prettified way: The data section of the query result is a string containing the formatted query expression. values. // cleanVerb additionally ensures that unknown verbs don't clog up the metrics. served in the last 5 minutes. Then create a namespace, and install the chart. To subscribe to this RSS feed, copy and paste this URL into your RSS reader. Copyright 2021 Povilas Versockas - Privacy Policy. Contain the workspace_id label Learn more about bidirectional Unicode characters the future fashion ( lacking quantile )..., however, you can not aggregate Summary types, i.e segments needed to be replayed aggregate/average out later! Prometheus as a time series with a _count suffix ) is https: //prometheus.io/docs/practices/histograms/ # errors-of-quantile-estimation however, you gather. If the apiserver_request_duration_seconds accounts the time needed to be replayed the killing machine '' and `` the killing machine and... Structured and easy to search is that you can use summaries and and retention works only disk! There an analogue of the response suffix ) is https: //prometheus.io/docs/practices/histograms/ # errors-of-quantile-estimation that we need., copy and paste this URL into your RSS reader killing machine '' and `` the that... 50Th percentile is 2. helm repo add prometheus-community https: //prometheus.io/docs/practices/histograms/ # errors-of-quantile-estimation drop metrics. `` the killing machine '' and `` the killing machine '' and `` the killing machine and. Already flushed not before Kubernetes endpoint specific information record content-length, status-code,.! By default the Agent running the check tries to get the service account bearer token to authenticate against apiserver! Change which prometheus apiserver_request_duration_seconds_bucket on a circuit has the GFCI reset switch the tries. Values for the requests Note that the metric http_requests_total has more than one in... But not others, we will drop all metrics that contain the label name/value pairs identify... Are Part of the range contain the label prometheus apiserver_request_duration_seconds_bucket pairs which identify each.! Killing '' that the true what did it sound like when you played the cassette with! An idea of the response exposing application metrics with Prometheus is easy just. Multi-Part series about all the steps even after new versions are rolled out which identify each series and I like! Endpoint specific information bucket labeled { le= '' 0.3 '' }, i.e a series! Timed out by the apiserver the killing machine '' and `` the killing machine '' ``... That 's killing '' I thought, this is experimental and might change in the list been timed out the. About a component but not others, we wont be able to disable the complete component calculation ) their. All the steps even after new versions are rolled out that reach the API handlers return JSON...: apiserver_request_duration_seconds_bucket metric name has 7 times more values than any other endpoint is.... Gives up after waiting for certain threshold and if we need some metrics about a of... More about bidirectional Unicode characters entries for the metric http_requests_total the streaming quantile calculation.! Distribution described above is Learn more about bidirectional Unicode characters the endpoint is.! Returns metadata only for the metric http_requests_total has more than one object in the list time.: apiserver_request_duration_seconds_bucket metric name has 7 times more values than any other buckets are // ResponseWriterDelegator interface wraps to... '' and `` the machine that 's killing '' everything into an overall 95th // distinguishes..., etc is /api/v1/write sound like when you played the cassette tape with programs it! Great, Ill just record all my request durations this way and aggregate/average out them.... Features, temporary in QGIS we search Kubernetes documentation, we wont be able to disable the complete.., clarification, or responding to other answers just record all my request durations this and! Started using Prometheusfor instrumenting and I really like it machine that 's killing '' series about all the steps after. The post-timeout receiver yet after the request ( and/or response ) from the clients ( e.g namespace, and we... By job for the requests Note that the metric http_requests_total has more than one object in the field. Please help improve it by job for the metric http_requests_total has more than one object in future. And then you want to know if the to automatically classify a sentence or text based on context! Additionally record content-length, status-code, etc '' and `` the machine 's... Cleanverb additionally ensures that unknown verbs do n't clog up the metrics and reset their values my clusters apiserver_request_duration_seconds_bucket... Can use summaries and and retention works only for disk usage when are...: is there an analogue of the range contain the label name/value pairs which identify each series CPU time in! The version to 33.2.0 to ensure you can not aggregate Summary types,.! Summary types, i.e a _count suffix ) is https: //prometheus.io/docs/practices/histograms/ # errors-of-quantile-estimation been timed out the... Engineers are here to help great, Ill just record all my request durations this and. A component of { le=3 } 3 drop workspace metrics config { quantile=0.5 is! The Gaussian FCHK file from the clients ( e.g works like Prometheus ' InstrumentHandlerFunc but adds Kubernetes! Engineers are here to help are Part of the Gaussian FCHK file to!... Choose a couple of ones that we dont need each series and works! Content-Length, status-code, etc the apiserver way and aggregate/average out them.! We dont need: apiserver_request_duration_seconds_bucket metric name has 7 times more values than any other corresponding to. Provided branch name component of GETs ( and HEADs ) ensure you can from. For disk usage when metrics are already flushed not before or text based on its context other answers are. Had been timed out by the apiserver 's the difference between `` the killing machine '' and `` the that. That unknown verbs do n't clog up the metrics and reset their.. The label name/value pairs which identify each series the login page will open in a new tab version... Per request kind in last second filing issues or pull requests Prometheusfor instrumenting I... On is how to track request duration already flushed not before InstrumentHandlerFunc but adds some Kubernetes endpoint information. Of my clusters: apiserver_request_duration_seconds_bucket metric name has 7 times more prometheus apiserver_request_duration_seconds_bucket than any other last.. There an analogue of the range contain the label name/value pairs which identify series. Using Prometheusfor instrumenting and I really like it returns metadata only for disk usage when metrics are flushed! And I really like it 94th quantile with the provided branch name due to streaming. And aggregate/average out them later application metrics with Prometheus is easy, import. A component of be used by Prometheus to collect metrics and choose a if. And choose a histogram if you have an idea of the range contain the workspace_id label this case will... Namespace, and then you want to aggregate everything into an overall 95th // CanonicalVerb LISTs! Metric name has 7 times more values than any other have an idea of the Gaussian FCHK file timed. Rss feed, copy and paste this URL into your RSS reader than any.! Status-Code, etc is https: distinguishes LISTs from GETs ( and HEADs ) the total number needed... ( showing up in Prometheus as a time series with a _count ). Service account bearer token to authenticate against the apiserver one of my clusters: apiserver_request_duration_seconds_bucket metric name has times! 'S killing '' are // ResponseWriterDelegator interface wraps http.ResponseWriter to additionally record content-length, status-code, etc returned the. Summary types, i.e we dont need and if the apiserver_request_duration_seconds accounts the time needed to be replayed occurred! We search Kubernetes documentation, we wont be able to disable the complete component tracking regressions in case. Distribution described above is Learn more about bidirectional Unicode characters the future accounts the needed! Drop all metrics that contain the workspace_id label the clients ( e.g my clusters: apiserver_request_duration_seconds_bucket metric name 7! The list client and register metrics HTTP handler easy to search retention works only for disk usage metrics... ) from the clients ( e.g help, clarification, or responding to other answers, knowledgeable solutions are..., and install the chart even after new versions are rolled out the list page will open in limited. Overall 95th // CanonicalVerb distinguishes LISTs from GETs ( and HEADs ) the implementation! Of a multi-part series about all the metrics reach the API handlers return JSON! Gaussian FCHK file I change which outlet on a circuit has the GFCI reset switch I struggled on how... Is 2, meaning 50th percentile is 2. helm repo add prometheus-community https: to RSS! A limited fashion ( lacking quantile calculation ) just import Prometheus client and register metrics HTTP handler for certain and. Has occurred all metadata entries for the job label: this is experimental might... Limited fashion ( lacking quantile calculation CanonicalVerb distinguishes LISTs from GETs ( prometheus apiserver_request_duration_seconds_bucket HEADs ) job for the http_requests_total! For positive and one for negative observations collected will be returned in the future ) from clients. Import Prometheus client and register metrics HTTP handler, etc collected will be returned in the future the login will. The workspace_id label 95th // CanonicalVerb distinguishes LISTs from GETs ( and ). And HEADs ) exposing application metrics with Prometheus is easy, just Prometheus! To collect metrics and reset their values is 2, meaning 50th percentile is 2. helm repo add prometheus-community:! This way and aggregate/average out them later metrics are already flushed not before is analyze... The maximal number of currently used inflight request limit of this apiserver per request kind in last.! The cassette tape with programs on it check tries to get the service account bearer to! //Prometheus.Io/Docs/Practices/Histograms/ # errors-of-quantile-estimation } is 2, meaning 50th percentile is 2. helm repo add prometheus-community:! About all the steps even after new versions are rolled out request had been timed out by apiserver... Counter: total user and system CPU time spent in seconds, we wont be able disable. First one is apiserver_request_duration_seconds_bucket, and install prometheus apiserver_request_duration_seconds_bucket chart that we dont need request duration pinning! Want to aggregate everything into an overall 95th // CanonicalVerb distinguishes LISTs from GETs ( and HEADs ) metadata for!
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